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Fusing QRS Detection, Waveform Features, and Robust Interval Estimation with a Random Forest to Classify Atrial Fibrillation., , and . CinC, www.cinc.org, (2017)Multi-label Classification of Cardiac Abnormalities for Multi-lead ECG Recordings Based on Auto-encoder Features and a Neural Network Classifier., , , and . CinC, page 1-4. IEEE, (2021)Signal-Level Fusion With Convolutional Neural Networks for Capacitively Coupled ECG in the Car., , , and . CinC, page 1-4. www.cinc.org, (2018)Reducing False Arrhythmia Alarms Using Robust Interval Estimation and Machine Learning., and . CinC, page 285-288. www.cinc.org, (2015)A Multi-Modal Sensor for a Bed-Integrated Unobtrusive Vital Signs Sensing Array., , , , , , and . IEEE Trans. Biomed. Circuits and Systems, 13 (3): 529-539 (2019)Modeling of Motion Artifacts in Contactless Heart Rate Measurements., , , , , , , , , and 1 other author(s). CinC, page 931-934. www.cinc.org, (2013)Nonnegative Matrix Factorization and Random Forest for Classification of Heart Sound Recordings in the Spectral Domain., , , and . CinC, www.cinc.org, (2016)Improving Machine Learning Education During the COVID-Pandemic Using Past Computing in Cardiology Challenges., , , and . CinC, page 1-4. IEEE, (2021)Modelling and Synthesizing Motion Artifacts in Unobtrusive Multimodal Sensing using Copulas., , and . EMBC, page 6006-6009. IEEE, (2018)Non-Contact Remote Measurement of Heart Rate Variability using Near-Infrared Photoplethysmography Imaging., , , , , , , and . EMBC, page 846-849. IEEE, (2018)